Deep Learning Engineer; Autonomous Driving IRC

Description

Our client is dedicated to making safe, intelligent mobility a reality. Headquartered in Sweden, they develop a complete, scalable software stack for ADAS and autonomous driving - from sensing to actuation-and are soon to launch with a major global automaker. Driven by the goal of reducing fatal accidents by 100%, their team of 500+ global engineers combines technical excellence with a shared passion for saving lives.

The company values a T-shaped competence profile, prioritizing a strong mindset, responsibility, and collaboration over a pure skill set. They offer a flexible hybrid work environment where ambition, mentorship, and software craftsmanship thrive.

To succeed in this role, you should have the following core competencies:

• Deep Learning Mastery: A thorough understanding of Deep Learning theory, with a genuine interest in the field's rapid evolution.
• Programming Proficiency:
  Expert-level knowledge of Python.
• Framework
  
  Experience:
  
  Hands‑on experience with major DL frameworks, specifically Tensor Flow or PyTorch.
• Mathematical Foundation:
  Strong grasp of Statistics and Geometry, enabling you to understand the underlying mechanics of the models you build.
• Software Development:
  Solid experience in software engineering principles (version control, testing, CI/CD).
• Data Engineering:
  Ability to handle large datasets and build efficient data processing pipelines.

• Advanced Architectures:
  Practical experience with Transformers, Recurrent Neural Networks (RNNs), and multi-head attention mechanisms.
• Perception Stack:
  Familiarity with Computer Vision tasks, or working with sensor data such as Lidar and Radar.
• Tracking:
  Experience with object tracking algorithms and methodologies.

• Analytical Problem Solver:
  You approach challenges logically and enjoy breaking down complex problems.
• Big Picture Thinking:
  You feel a strong sense of responsibility for the greater product and how your work fits into the ecosystem.
• Collaborative Mindset:
  You are an active listener who values others' input.
• Humble & Respectful:
  You are open to feedback, treat colleagues with respect, and leave your ego at the door.

We are looking for a Deep Learning Engineer who is passionate about bridging the gap between theoretical research and production-grade software. In this role, you will design, implement, and optimize deep learning models while owning the full development lifecycle-from data engineering to deployment. You will join a team that values technical excellence and collaborative problem-solving. If you have a strong mathematical foundation, a curiosity for state-of-the-art architectures (like Transformers), and a humble approach to teamwork, we want to hear from you.

• Model Development:
  Design, train, and validate deep learning models using industry-standard frameworks.
• Data Engineering:
  Build and maintain robust data pipelines to ensure high-quality input for model training and validation.
• Software Engineering:
  Write clean, maintainable, and efficient Python code, adhering to best software development practices.
• Mathematical Application:
  Apply statistical analysis and geometric principles to solve complex problems and optimize model performance.
• Research & Innovation:
  Stay up-to-date with the latest developments in Deep Learning and assess their applicability to our specific use cases.

At Global Logic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.

We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career h our Career Navigator tool as just one example, Global Logic offers a rich array of programs, training curricula, and…